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Sequential Learning and Decision-Making in Wireless Resource Management

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Sequential Learning and Decision-Making in Wireless Resource Management

Cunqing Hua, Rong Zheng

Springer
Collection: Wireless Networks
Publication date : 2017-01-05

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This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks.

Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible.

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About the book

Author

Cunqing Hua , Rong Zheng

Imprint

Springer

Collection

Wireless Networks

Publication date

2017-01-05

Pages

118 pages

Print ISBN

9783319505015

Language

English

Ebook informations

EAN PDF

9783319505022

Price

£89.50

Copy count 1

Print count 11

File size 2478 Ko

Informations accessibility

EAN EPUB

9783319505022

Price

£89.50

Copy count 1

Print count 11

File size 1608 Ko

Informations accessibility

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About author(s)

Cunqing Hua

Rong Zheng

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